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handcalcs

Python library for converting Python calculations into rendered latex.

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

machine-learning--basics

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

maryam.mgh

maryammgh

mchmm

Markov Chains and Hidden Markov Models in Python

renewables_scenario_gen_gan

The implementation of scenario generation for renewables production process

space-time-mixed-markov-chain-model

A Mixed Mover–Stayer Model for Spatio-temporal Two-State Processes

stumpy

STUMPY is a powerful and scalable Python library for modern time series analysis

trr